Thomas R. Lane

2.4k total citations · 1 hit paper
68 papers, 1.5k citations indexed

About

Thomas R. Lane is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Thomas R. Lane has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 25 papers in Infectious Diseases and 16 papers in Molecular Biology. Recurrent topics in Thomas R. Lane's work include Computational Drug Discovery Methods (26 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Viral Infections and Outbreaks Research (8 papers). Thomas R. Lane is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Viral Infections and Outbreaks Research (8 papers). Thomas R. Lane collaborates with scholars based in United States, Russia and Brazil. Thomas R. Lane's co-authors include Sean Ekins, Kimberley M. Zorn, Daniel P. Russo, Alex M. Clark, Ana C. Puhl, Daniel H. Foil, Peter B. Madrid, Anthony J. Hickey, Jennifer J. Klein and Eni Minerali and has published in prestigious journals such as Nature Materials, Environmental Science & Technology and Journal of Molecular Biology.

In The Last Decade

Thomas R. Lane

60 papers receiving 1.5k citations

Hit Papers

Exploiting machine learning for end-to-end drug discovery... 2019 2026 2021 2023 2019 100 200 300

Peers

Thomas R. Lane
Comparison fields: 5 of 137
  • Computational Theory and Mathematics 572
  • Molecular Biology 549
  • Infectious Diseases 285
  • Materials Chemistry 227
  • Artificial Intelligence 121
Replace Kimberley M. Zorn with:
Kimberley M. Zorn United States
Alex M. Clark United States
Yu‐Shi Tian Japan
Andrés Cubillos-Ruiz United States
Yifei Wang China
Ðắc-Trung Nguyễn United States
Aman Chandra Kaushik China
Michael Hsing Canada
Jessica Vamathevan United Kingdom
Daniel P. Russo United States
Kimberley M. Zorn United States View profile →
Citations per field, relative to Thomas R. Lane
Thomas R. Lane · 1×
Citations per year, relative to Thomas R. Lane
Thomas R. Lane · 1×

Countries citing papers authored by Thomas R. Lane

Since Specialization
Citations

This map shows the geographic impact of Thomas R. Lane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas R. Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas R. Lane more than expected).

Fields of papers citing papers by Thomas R. Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Lane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas R. Lane. The network helps show where Thomas R. Lane may publish in the future.

Co-authorship network of co-authors of Thomas R. Lane

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Lane. A scholar is included among the top collaborators of Thomas R. Lane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas R. Lane. Thomas R. Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 1
5 13
6 3
7 1
8 0
9 5
10 2
11 3
12 2
13 4
14 6
15 6
16 11
17 17
18
Exploiting machine learning for end-to-end drug discovery and development breakdown →
352
19 26
20 23

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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